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chanalytics-ai/README.md

Hello!๐Ÿ‘‹ Welcome to my Github!

My name is William Chan. I'm an Insights and Analytics Nerd ๐Ÿค“ from Montreal, Canada ๐Ÿ‡จ๐Ÿ‡ฆ - the most multicultural Canadian city & best food all around. I absolutely love data and joined the field in 2013 right before the mainstream boom. I've been dabbling in the analytics space ever since with a keen interest in Customer Analytics and Sports Analytics. Most of my projects and articles on Medium will be around those topics.

I spent 10 years involved in sports before pivoting to business ๐Ÿ“Š. I'm grateful for the incredible experiences I've had with FIFA โšฝ๏ธ, Hockey Canada ๐Ÿ’, IIHF, and various amateur soccer associations in Canada. Following my early sports career, I graduated with a Bachelor's in Business Technology and Data from Concordia University. I landed a role at Air Canada โœˆ๏ธ where I built out their analytics program in their Global Sales department. Seeing the impact data could have on a business's performance I decided to dive deeper by completing my Master of Management Analytics at Queen's University. I also joined Merck Canada ๐Ÿ’Š with a mandate to build out their analytics function.

I love travelling and experiencing different cultures (and their food). During my time at Air Canada, I was fortunate enough to visit many countries including: Japan ๐Ÿ‡ฏ๐Ÿ‡ต, Australia ๐Ÿ‡ฆ๐Ÿ‡บ, Singapore ๐Ÿ‡ธ๐Ÿ‡ฌ, France ๐Ÿ‡ซ๐Ÿ‡ท, UK ๐Ÿ‡ฌ๐Ÿ‡ง, Spain ๐Ÿ‡ช๐Ÿ‡ธ, Germany ๐Ÿ‡ฉ๐Ÿ‡ช, and Belgium ๐Ÿ‡ง๐Ÿ‡ช. I speak English, French, and Cantonese ๐Ÿ‡ญ๐Ÿ‡ฐ (I was born in Hong Kong) and eager to learn Italian ๐Ÿ‡ฎ๐Ÿ‡น.

When I'm not on my computer, I'm either travelling ๐Ÿ, playing video games ๐Ÿ•น, or golfing โ›ณ๏ธ!

I'd love to connect if you share an interest in any of the topics I mentioned.

All the best.

Will

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  1. clv clv Public

    This code supports the "Why CLV should be an Organization's North Star Metric" article written in Medium.

    Jupyter Notebook

  2. text-classification-simple-transformers text-classification-simple-transformers Public

    Text classification code used to identify spam messages for a class Kaggle competition. The library used is Simple Transformers. Placed 2nd with a .98 accuracy score.

    Jupyter Notebook